Sebastian Raschka
Wednesday, December 3, 2025
Sebastian Raschka, PhD
From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates
DeepSeek sparse attention reinforcement learning open-weight models model architecture
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Summary
DeepSeek has evolved its flagship open-weight models from V3 to V3.2, incorporating architectural improvements and enhanced capabilities.
The updates include advancements in sparse attention mechanisms and reinforcement learning techniques that improve model efficiency and performance.
These developments represent significant progress in making powerful AI models more accessible through open-weight releases.
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This article was originally published by Sebastian Raschka. Read the full original article for complete details, images, and author commentary.
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